What is Intelligent Analytics?
Intelligent Analytics is the next iteration of how people will work with data. It’s a new way of working with data that’s made possible by working with an AI agent.
It's also different from “old school” BI in three very important ways:
Summarizing Results Across Different Data Sets
Traditional BI platforms handle individual queries independently. You can successfully run one or even two queries, and maybe even get an AI assistant to help you do so. But synthesizing and summarizing insights across these separate results is often either impossible or very hard to do (which is why people just download to Excel).
Imagine you want to analyze revenue alongside marketing spend for specific campaigns. Traditional BI tools often force these metrics into separate “explores” or “worksheets,” which means you need to download the data and do lots of manual work to get the answer or talk to the data team and get them to work some technical magic to get the answer for you.
Intelligent Analytics can pull both of those queries, just like the BI tool, but can then use an AI agent to combine and synthesize the results. If datasets can’t be joined, or data from the BI system needs to be combined with a CSV upload, Intelligent Analytics can handle it without an issue.
Context-Aware Analytics
Traditional BI tools don’t remember your preferences and don’t do much better than just showing you the number of times a dashboard was viewed.
Intelligent Analytics remembers your usage patterns and understands context across different data sets you work with. It continuously learns your preferences, commonly used fields, and organizational nuances (specific acronyms, start date of your fiscal year, etc).
Remembering those preferences is essential for providing an experience that answers your actual questions instead of making you write an RFP every time you want to use data.
Proactive and Advanced Transformations
Traditional BI makes you select each element you want to see on your dashboard. Every step forward requires you to think it through, and your ability to answer more sophisticated questions is limited by the dimensional model of the BI platform.
Intelligent Analytics, on the other hand, is proactive in nature. You can ask questions like "Build me a comprehensive dashboard on our marketing spend and conversion” and get a (really) comprehensive answer back (especially with Claude 3.7). You don’t have to already know every metric you want to look at to make a dashboard. You can ask the agent, see its draft, and iterate to make sure it covers everything you want.
Likewise, the agent is able to answer even advanced analytical questions that go beyond the traditional BI dimensional model, without requiring you to go into Excel.
Intelligent Analytics is the future of analytics
The move from traditional BI to Intelligent Analytics isn't just incremental, it's a step change.
Intelligent Analytics, equips its user with a faster and more powerful way to extract value from their data. It's not just about answering basic data questions more efficiently; it's about discovering insights that solve actual business problems.
